The Experts below are selected from a list of 57171 Experts worldwide ranked by ideXlab platform
Jerome Mars - One of the best experts on this subject based on the ideXlab platform.
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Vector-Sensor Array Processing for Polarization Parameters and DOA Estimation
EURASIP Journal on Advances in Signal Processing, 2010Co-Authors: Caroline Paulus, Jerome MarsAbstract:This paper presents a method allowing a complete characterization of wave signals received on a vector-Sensor Array. The proposed technique is based on wavefields separation processing and on estimation of fundamental waves attributes as the state of polarization state and the direction of arrival. Estimation of these attributes is an important step in data processing for a wide range of applications where vector Sensor antennas technology is involved such as seismic processing, electromagnetic fields studies, and telecommunications. Compared to the classic techniques, the proposed method is based on computation of multicomponent wideband spectral matrices which enable to take into account all information given by the vector Sensor Array structures and thus provide a complete characterization of a larger number of sources.
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quaternion music for vector Sensor Array processing
IEEE Transactions on Signal Processing, 2006Co-Authors: Sebastian Miron, Le N Bihan, Jerome MarsAbstract:This paper considers the problem of direction of arrival (DOA) and polarization parameters estimation in the case of multiple polarized sources impinging on a vector-Sensor Array. The quaternion model is used, and a data covariance model is proposed using quaternion formalism. A comparison between long vector orthogonality and quaternion vector orthogonality is also performed, and its implications for signal subspace estimation are discussed. Consequently, a MUSIC-like algorithm is presented, allowing estimation of wave's DOAs and polarization parameters. The algorithm is tested in numerical simulations, and performance analysis is conducted. When compared with other MUSIC-like algorithms for vector-Sensor Array, the newly proposed algorithm results in a reduction by half of memory requirements for representation of data covariance model and reduces the computational effort, for equivalent performance. This paper also illustrates a compact and elegant way of dealing with multicomponent complex-valued data.
Kuang-chao Fan - One of the best experts on this subject based on the ideXlab platform.
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Flexible Temperature Sensor Array Based on a Graphite-Polydimethylsiloxane Composite
Sensors, 2010Co-Authors: Wen-pin Shih, Chian Wen Lee, Lichi Tsao, Ming-yuan Cheng, Yao-joe Yang, Chienliu Chang, Kuang-chao FanAbstract:Abstract: This paper presents a novel method to fabricate temperature Sensor Arrays by dispensing a graphite-polydimethylsiloxane composite on flexible polyimide films. The fabricated temperature Sensor Array has 64 sensing cells in a 4 × 4 cm 2 area. The Sensor Array can be used as humanoid artificial skin for sensation system of robots. Interdigitated copper electrodes were patterned on the flexible polyimide substrate for determining the resistivity change of the composites subjected to ambient temperature variations. Polydimethylsiloxane was used as the matrix. Composites of different graphite volume fractions for large dynamic range from 30 oC to 110 oC have been investigated. Our experiments showed that graphite powder provided the composite high temperature sensitivity. The fabricated temperature Sensor Array has been tested. The detected temperature contours are in good agreement with the shapes and magnitudes of different heat sources. Keywords: composite; temperature Sensor Array; flexible substrate
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Flexible temperature Sensor Array based on a Graphite-Polydimethylsiloxane composite
Sensors, 2010Co-Authors: Wen-pin Shih, Chian Wen Lee, Lichi Tsao, Ming-yuan Cheng, Yao-joe Yang, Chienliu Chang, Kuang-chao FanAbstract:This paper presents a novel method to fabricate temperature Sensor Arrays by dispensing a graphite-polydimethylsiloxane composite on flexible polyimide films. The fabricated temperature Sensor Array has 64 sensing cells in a 4 × 4 cm2 area. The Sensor Array can be used as humanoid artificial skin for sensation system of robots. Interdigitated copper electrodes were patterned on the flexible polyimide substrate for determining the resistivity change of the composites subjected to ambient temperature variations. Polydimethylsiloxane was used as the matrix. Composites of different graphite volume fractions for large dynamic range from 30 ºC to 110 ºC have been investigated. Our experiments showed that graphite powder provided the composite high temperature sensitivity. The fabricated temperature Sensor Array has been tested. The detected temperature contours are in good agreement with the shapes and magnitudes of different heat sources.
Liang Feng - One of the best experts on this subject based on the ideXlab platform.
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Recent Progresses in Optical Colorimetric/Fluorometric Sensor Array
Chinese Journal of Analytical Chemistry, 2013Co-Authors: Ming-yan Jia, Liang FengAbstract:Abstract The optical colorimetric/fluorometric Sensor Array has been applied widely in many fields for its low-cost, easy-operation, fast-response, multi-information, etc. This review describes the progresses in recent years in the optical colorimetric/fluorometric Sensor Array and summarizes its applications in the detection of toxic gases, biological samples, ions, small molecules in solution, and complex mixtures. Moreover, the characteristics and performances of different colorimetric/fluorometric Sensor Arrays are discussed and the potential directions for their future research are prospected as well.
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discrimination of complex mixtures by a colorimetric Sensor Array coffee aromas
Analytical Chemistry, 2010Co-Authors: Benjamin A Suslick, Liang Feng, Kenneth S SuslickAbstract:The analysis of complex mixtures presents a difficult challenge even for modern analytical techniques, and the ability to discriminate among closely similar such mixtures often remains problematic. Coffee provides a readily available archetype of such highly multicomponent systems. The use of a low-cost, sensitive colorimetric Sensor Array for the detection and identification of coffee aromas is reported. The color changes of the Sensor Array were used as a digital representation of the Array response and analyzed with standard statistical methods, including principal component analysis (PCA) and hierarchical clustering analysis (HCA). PCA revealed that the Sensor Array has exceptionally high dimensionality with 18 dimensions required to define 90% of the total variance. In quintuplicate runs of 10 commercial coffees and controls, no confusions or errors in classification by HCA were observed in 55 trials. In addition, the effects of temperature and time in the roasting of green coffee beans were readily ...
Andreas Dietzel - One of the best experts on this subject based on the ideXlab platform.
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Stretchable Sensor Array for respiratory monitoring
2017 19th International Conference on Solid-State Sensors Actuators and Microsystems (TRANSDUCERS), 2017Co-Authors: Eugen Koch, Andreas DietzelAbstract:We present a novel stretchable Sensor Array to be used for triggering the artificial respiration of premature infants by measuring thorax deformations. Sensor Arrays are fabricated on thin polyimide films with lithographic technologies and transferred into a stretchable format by femtosecond laser structuring and subsequent embedding in PDMS providing skin-like properties. For the first time signals from a stretchable Sensor Array are used to determine trigger points for respiration as well as for surface reconstruction. With these unique capabilities the Sensor may in future be also used as an extended diagnostic tool taking artificial respiration to a next level.
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skin attachable flexible Sensor Array for respiratory monitoring
Sensors and Actuators A-physical, 2016Co-Authors: Eugen Koch, Andreas DietzelAbstract:Abstract Flexible electronic systems became increasingly popular in recent years. They usually can be bent or even stretched while fully maintaining their functionality opening up a wide field of various new applications. In this paper a novel 6 × 6 Sensor Array for curvature sensing in the format of a thin flexible polyimide foil is introduced. The Sensor foil is to be used for respiratory monitoring of premature infants by directly attaching it to the skin for measuring the body deformations caused by breathing. Sensor signals shall in future be used not only to trigger the respiration device but also to provide time dependent body surface reconstruction as a diagnostic tool. One single Sensor element consists of four gold strain gauges in a Wheatstone bridge configuration. For suppressing Sensor response to foil stretching and for increasing bending sensitivity we introduced a double-sided Sensor design with strain gauges on both surfaces of the thin foil leading to a 170% higher sensitivity than a one-sided Sensor design. The complete Sensor Array foil of less than 20 μm in thickness can be fabricated without flipping the substrate. Single Sensor elements can reliably measure in a bending radius range of 1 mm ≤ r ≤ 380 mm and provide a signal of Vout = κ*S with the curvature κ = 1/r and a sensitivity of S = 49.3 mV*mm. The response time of 25 ms is currently defined by the signal processing circuitry. Double sided Sensor elements with different orientations are arranged in an alternating pattern across the Array allowing to fully and unambiguously determine the bending vector utilizing plausibility considerations on basis of signals from neighboring elements. A small initial bending resulting from fabrication induced stresses was observed but could easily be compensated in digital Sensor signal analysis. In summary, first tests of this novel Sensor Array together with the scalability of implemented fabrication processes are very promising. The fundamental criteria to be used as Sensor Array for respiratory monitoring of infants are met and typical problems associated with existing systems for respiration triggering can be avoided with skin attachable flexible systems.
Arye Nehorai - One of the best experts on this subject based on the ideXlab platform.
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nested vector Sensor Array processing via tensor modeling
IEEE Transactions on Signal Processing, 2014Co-Authors: Keyong Han, Arye NehoraiAbstract:We propose a new class of nested vector-Sensor Arrays which is capable of significantly increasing the degrees of freedom (DOF). This is not a simple extension of the nested scalar-Sensor Array, but a novel signal model. The structure is obtained by systematically nesting two or more uniform linear Arrays with vector Sensors. By using one component's information of the interspectral tensor, which is equivalent to the higher-dimensional second-order statistics of the received data, the proposed nested vector-Sensor Array can provide O(N2) DOF with only N physical Sensors. To utilize the increased DOF, a novel spatial smoothing approach is proposed, which needs multilinear algebra in order to preserve the data structure and avoid reorganization. Thus, the data is stored in a higher-order tensor. Both the signal model of the nested vector-Sensor Array and the signal processing strategies, which include spatial smoothing, source number detection, and direction of arrival (DOA) estimation, are developed in the multidimensional sense. Based on the analytical results, we consider two main applications: electromagnetic (EM) vector Sensors and acoustic vector Sensors. The effectiveness of the proposed methods is verified through numerical examples.
